Project description DEENESFRITPL Artificial intelligence shields face recognition The use of face recognition has surged in recent years, facilitating the identification and authentication of peoples' identities. The need to secure those identities is crucial. Face images, when stored in enterprise databases or circulated through the web, pose a huge safety risk that could lead to breach of privacy rules, even identity theft. These threats are rising as the Face Recognition market grows. D-ID is an innovation that helps companies protect the privacy of face images while preserving their optimal use through facial recognition-jamming technology. The innovation is key to strengthening compliance with the European Union's General Data Protection Regulation and reducing the potential for fines and lawsuits. Show the project objective Hide the project objective Objective "Dramatic advances in Face Recognition (FR) technologies in recent years have led to proliferation of the use of automated recognition of people’s face images, facilitating the identification or the authentication of a person. However, facial recognition can be as scary as it is useful. The statement ""Your face is your identity"" has become ever more critical with the proliferation of FR. Face images, when stored in enterprise databases or disseminated through the web, pose significant risks of misuse, violation of fundamental privacy rights, unauthorized tracking and even identity theft. These threats are growing swiftly, with the growth of the FR market. As a result, privacy regulations, such as the EU General Data Protection Regulation, now address face images not just as personal information, but as sensitive personal information, subjecting this data to strict privacy protection measures, security standards, and potentially huge fines and lawsuits, in case of data breaches. D-ID™ is a high-risk/high-potential innovation that introduces a disruptive solution to assist companies to privacy-protect face images, while concurrently preserving their visual similarity (hence optimal usability) of the images, thus, strengthening compliance with the EU’s General Data Protection Regulation and reducing the risk for fines/lawsuits, as well as damaged reputation. " Fields of science natural sciencescomputer and information sciencesartificial intelligencenatural sciencescomputer and information sciencesdatabasesnatural sciencescomputer and information sciencescomputer securitydata protection Programme(s) H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs Main Programme H2020-EU.3. - PRIORITY 'Societal challenges H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies Topic(s) EIC-SMEInst-2018-2020 - SME instrument Call for proposal H2020-EIC-SMEInst-2018-2020 See other projects for this call Sub call H2020-SMEInst-2018-2020-1 Funding Scheme SME-1 - SME instrument phase 1 Coordinator DE-IDENTIFICATION LTD Net EU contribution € 50 000,00 Address 3 YAEL STR 6437216 TEL-AVIV Israel See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 71 429,00
